In all research projects, large or small, that include research data, it is important to create a good data management plan (DMP). When working with your DMP, you plan all phases of the future research project, and all activities related to data management. This includes e.g., searching for existing data that you can build your work upon, collecting or generating your own data, secure storage and backup of data during the active data collection phase, structuring and documenting data, processing and analyzing data, and archiving and (if possible) sharing data. Data and the management of them is usually an essential component of a research project, and it is therefore important that data management is carried out in line with best practices. This is why planning is central.
A data management plan is a tool for you as a researcher. There are good templates that help you think through and describe how all steps in your project can be carried out in the best possible way.
Many funders demand a data management plan, as this ensures better project implementation. This requirement also applies to researchers at UiT The Arctic University of Norway, see Principles and guidelines for management of research data at UiT.
The webinar builds on the two webinars “How to structure and document research data” and “How to archive research data” (for information about the different webinars, see site.uit.no/rdmtraining).
You may send in questions in advance (through a Padlet) that you want to discuss during the webinar. More information about this will be given well in advance.
For more information about research data management at UiT, see the UiT Research Data Portal.
Illustration: Evita Lill Bergstad